Malignant rhabdoid tumor (MRT) is driven by the loss of the SNF5 subunit of the SWI/SNF chromatin remodeling complex and then thought to be maintained by residual SWI/SNF (rSWI/SNF) complexes that remain present in the absence of SNF5. rSWI/SNF subunits colocalize extensively on chromatin with the transcription factor MYC, an oncogene identified as a novel driver of MRT. Currently, the role of rSWI/SNF in modulating MYC activity has neither been delineated nor has a direct link between rSWI/SNF and other oncogenes been uncovered. Here, we expose the connection between rSWI/SNF and oncogenic processes using a well-characterized chemical degrader to deplete the SWI/SNF ATPase, BRG1. Using a combination of gene expression and chromatin accessibility assays we show that rSWI/SNF complexes facilitate MYC target gene expression. We also find that rSWI/SNF maintains open chromatin at sites associated with hallmark cancer genes linked to the AP-1 transcription factor, suggesting that AP-1 may drive oncogenesis in MRT. Interestingly, changes in MYC target gene expression are not overtly connected to the chromatin remodeling function of rSWI/SNF, revealing multiple mechanisms used by rSWI/SNF to control transcription. This work provides an understanding of how residual SWI/SNF complexes may converge on multiple oncogenic processes when normal SWI/SNF function is impaired.

Dermatophytic pathogens are a source of disturbance to the host microbiome, but the temporal progression of these disturbances is unclear. Here, we determined how Snake Fungal Disease, caused by Ophidiomyces ophidiicola, resulted in disturbance to the host microbiome. To assess disease effects on the microbiome, 22 Common Watersnakes (Nerodia sipedon) were collected and half were inoculated with O. ophidiicola. Epidermal swabs were collected weekly for use in microbiome and pathogen load characterization. For the inoculated treatment only, we found a significant effect of disease progression on microbial richness and Shannon diversity consistent with the intermediate disturbance hypothesis. When explicitly accounting for differences in assemblage richness, we found that β-diversity among snakes was significantly affected by the interaction of time and treatment group, with assemblages becoming more dissimilar across time in the inoculated, but not the control group. Also, differences between treatments in average microbiome composition became greater with time, but this interactive effect was not evident when accounting for assemblage richness. These results suggest that changes in composition of the host microbiome associated with disease largely occur due to changes in microbial richness related to disease progression.